Plotly Examples

My name is Guangling and I make websites with interactive graphics !!!

library(tidyverse)

## -- Attaching packages ---------------------------------- tidyverse 1.2.1 --

## √ ggplot2 3.2.1     √ purrr   0.3.2
## √ tibble  2.1.3     √ dplyr   0.8.3
## √ tidyr   1.0.0     √ stringr 1.4.0
## √ readr   1.3.1     √ forcats 0.4.0

## -- Conflicts ------------------------------------- tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()

library(viridis)

## Loading required package: viridisLite

library(p8105.datasets)

library(plotly)

## 
## Attaching package: 'plotly'

## The following object is masked from 'package:ggplot2':
## 
##     last_plot

## The following object is masked from 'package:stats':
## 
##     filter

## The following object is masked from 'package:graphics':
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##     layout

let us make some plots

data("nyc_airbnb")

nyc_airbnb = 
  nyc_airbnb %>% 
  mutate(rating = review_scores_location / 2) %>%
  select(
    neighbourhood_group, neighbourhood, rating, price, room_type, lat, long) %>%
  filter(
    !is.na(rating), 
    neighbourhood_group == "Manhattan",
    room_type == "Entire home/apt",
    price %in% 100:500)  %>% 
  sample_n(5000) ## give 5000 samples from the dataset

Plot scatterplot

nyc_airbnb %>%
  mutate(text_label = str_c("Price: $", price, '\nRating: ', rating)) %>% 
  plot_ly(
    x = ~lat, y = ~long, type = "scatter", mode = "markers",
    color = ~price, text = ~text_label, alpha = 0.5)

## mode = "markers" just put the points but not line the points up.

common_neighborhoods =
  nyc_airbnb %>% 
  count(neighbourhood, sort = TRUE) %>% 
  top_n(8) %>% 
  select(neighbourhood)

## Selecting by n

inner_join(nyc_airbnb, common_neighborhoods, by = "neighbourhood") %>% 
  mutate(neighbourhood = fct_reorder(neighbourhood, price)) %>% ## increasing order with prices
  plot_ly(y = ~price, color = ~neighbourhood, type = "box",
          colors = "Set2")

nyc_airbnb %>% 
  count(neighbourhood) %>% 
  mutate(
    neighbourhood = fct_reorder(neighbourhood, n)
  ) %>% 
  plot_ly(x = ~neighbourhood, y = ~n , type = "bar")